During May 2025, this developer expanded the evaluation resources for visual-language models in the upstash/FlagEmbedding repository by integrating the Circo and FashionIQ datasets into the BGE-VL suite. They focused on data engineering and dataset management, using JSON to structure and package new corpus and query files for reproducible benchmarking. By centralizing these evaluation assets within the repository, the developer streamlined the benchmarking process and enabled more robust, iterative model evaluation. Their work addressed the need for richer, more diverse datasets in visual-linguistic tasks, enhancing evaluation coverage and supporting faster development cycles for visual-language model research and deployment.